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Implicit Spatial Information Extraction from Remote Sensing Images

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Book cover Headway in Spatial Data Handling

Part of the book series: Lecture Notes in Geoinformation and Cartography ((LNGC))

Abstract

In this paper we describe the basic functionality of a system dedicated to process spatial information (high-resolution satellite image) and to handle it through (semi-) structured descriptors. These descriptors enable to manage in a unified representation two families of features extracted from the objects identified by image segmentation: the attributes characterizing each object, and the attributes characterizing relationships between objects. Our aim is to focus on the complementarily of two approaches, on one hand concerning the segmentation of spatial information, and on the other hand concerning the knowledge discovery and the modeling.

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Author information

Authors and Affiliations

  1. Universidad Autónoma Metropolitana – Cuajimalpa, Constituyentes 1054, Del. Miguel Hidalgo, 11950 México

    Erick Lopez-Ornelas

  2. Université Paul Sabatier, 118 Route de Narbonne, Toulouse III, 31062 Toulouse cedex 4

    Guy Flouzat

Authors
  1. Erick Lopez-Ornelas
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  2. Guy Flouzat
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Editor information

Editors and Affiliations

  1. Inst. Géographique National-IGN, COGIT Laboratoire, 2-4 avenue Pasteur, 94166 Saint-Mandé Cedex, France

    Anne Ruas (Dr.) (Dr.)

  2. Dept. Mathematics and Computing, University of Glamorgan, Pontypridd, M. Glam, United Kingdom CF37 1DL

    Christopher Gold (Dr.) (Dr.)

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Lopez-Ornelas, E., Flouzat, G. (2008). Implicit Spatial Information Extraction from Remote Sensing Images. In: Ruas, A., Gold, C. (eds) Headway in Spatial Data Handling. Lecture Notes in Geoinformation and Cartography. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68566-1_8

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